Abstract

Deep-ultraviolet (DUV) phototransistors have shown great potential applications in UV imaging, artificial intelligence, and wearable optoelectronics. Among a large number of wide bandgap semiconductors, the quasi-two-dimensional β-Ga2O3 is considered as an ideal candidate for DUV photodetector applications. Herein, we report a high responsivity (R) and fully flexible Ta-doped β-Ga2O3 DUV phototransistor which exhibits outstanding optoelectrical properties with a high R of 1.32 × 106 A/W, a large detectivity of 5.68 × 1014 Jones, a great photo-to-dark current ratio of 1.10 × 1010%, a high external quantum efficiency of 6.60 × 108%, and an ultra-fast response time of ~3.50 ms. Besides, the flexible Ta-doped β-Ga2O3 device also displays high reliability and mechanical flexibility that can sustain well after over 1 × 104 bending cycles. Moreover, high-contrast imaging of UV light was obtained on the flexible DUV detector arrays, which can be efficiently trained and recognized by an artificial neural network. Our findings offer a perspective to develop wearable optoelectronics and UV imaging based on high-performance flexible β-Ga2O3 DUV phototransistors, providing an inspiration for the future work in artificial intelligence and bionic robot fields.

Details

Title
High responsivity and flexible deep-UV phototransistor based on Ta-doped β-Ga2O3
Author
Li, Xiao-Xi 1 ; Zeng, Guang 1 ; Li, Yu-Chun 1 ; Zhang, Hao 1 ; Ji, Zhi-Gang 2 ; Yang, Ying-Guo 3   VIAFID ORCID Logo  ; Luo, Man 4 ; Hu, Wei-Da 4   VIAFID ORCID Logo  ; Zhang, David Wei 1 ; Lu, Hong-Liang 1 

 Fudan University, State Key Laboratory of ASIC and System, Shanghai Institute of Intelligent Electronics & Systems, School of Microelectronics, Shanghai, China (GRID:grid.8547.e) (ISNI:0000 0001 0125 2443) 
 Shanghai Jiao Tong University, National Key Laboratory of Science and Technology on Micro/Nano Fabrication, Shanghai, China (GRID:grid.16821.3c) (ISNI:0000 0004 0368 8293) 
 Fudan University, State Key Laboratory of ASIC and System, Shanghai Institute of Intelligent Electronics & Systems, School of Microelectronics, Shanghai, China (GRID:grid.8547.e) (ISNI:0000 0001 0125 2443); Chinese Academy of Sciences, Shanghai Synchrotron Radiation Facility (SSRF), Zhangjiang Lab, Shanghai Advanced Research Institute &, Shanghai Institute of Applied Physics, Shanghai, China (GRID:grid.9227.e) (ISNI:0000000119573309) 
 Chinese Academy of Sciences, State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Shanghai, China (GRID:grid.9227.e) (ISNI:0000000119573309) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
23974621
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2677954923
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.